Computational Systems Biology for Aging Research

Mc Auley, Mark T and Mooney, Kathleen M (2014) Computational Systems Biology for Aging Research. In: Yashin Jazwinski, Anatoli I and Jazwinsk, S Michal (eds). Aging and Health – A Systems Biology Perspective. Karger, Basel, pp. 35-48. ISBN 9783318027297 3318027294 DOI https://doi.org/10.1159/000364928)

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Official URL: https://www.karger.com

Abstract

Computational modelling is a key component of systems biology and integrates with the other tech- niques discussed thus far in this book by utilizing a myriad of data that are being generated to quan- titatively represent and simulate biological systems. This chapter will describe what computational modelling involves; the rationale for using it, and the appropriateness of modelling for investigating the aging process. How a model is assembled and the different theoretical frameworks that can be used to build a model are also discussed. In addition, the chapter will describe several models which demonstrate the effectiveness of each computational approach for investigating the constituents of a healthy aging trajectory. Specifically, a number of models will be showcased which focus on the complex age-related disorders associated with unhealthy aging. To conclude, we discuss the future applications of computational systems modelling to aging research.

Item Type: Book Section
Subjects: Q Science > Q Science (General)
Divisions: Biology
Date Deposited: 02 Mar 2017 09:57
URI: http://repository.edgehill.ac.uk/id/eprint/8711

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